class_docstr: Tests for the tanh normal distribution.
docstr: Verify that clipped actions still have a valid log probability.
docstr_tok: ["Verify","that","clipped","actions","still","have","a","valid","log","probability","."]
code: def test_tanh_normal_log_prob_of_clipped_action(self):
      """Verify that clipped actions still have a valid log probability."""
      mean = torch.zeros(2)
      std = torch.ones(2)
      dist = TanhNormal(mean, std)
      action = torch.Tensor([[1.0, -1.0]])
      log_prob_approx = dist.log_prob(action)
      assert torch.isfinite(log_prob_approx)
      assert log_prob_approx < -20
      del dist
  
file_path: garage/tests/garage/torch/distributions/test_tanh_normal_dist.py
imports: import torch
  from garage.torch.distributions import TanhNormal
label_desc: Use image node_id 7 for calling the TestBenchmarkTanhNormalDistribution obj's underlying member method code with example usage: obj.test_tanh_normal_log_prob_of_clipped_action() without return types